在雲端無線連接網絡(C-RAN)中將用戶表現為遠程無線電頭(RRH)關聯策略對於性能優化至關重要。在本篇論文中我們探討了基於單個最近地的RRH與Nakagami-m衰減和路徑損耗衰減的C-RAN模型以及得到了單個最近和N個最近的RRH關聯策略,並分析了對C-RAN的遍歷容量的相對應影響,其中RRH根據靜止點過程分佈。在實驗分析中,參數mL不局限於整數,其中L是每個RRH 的天線數量。然而對於兩類功率路徑損耗的指數,我們得出了遍歷容量的幾個閉合形式表達式,在不限於高SNR方案的情況下,還有推導出所提出的RRH關聯策略的遍歷容量的封閉表達式。此外,為一般情況提供了緊密下界的封閉形式表達。最後,提供了模擬和數值積分的結果以顯示交叉驗證。
Characterizing user to Remote Radio Head (RRH) association strategies in cloud radio access networks (C-RANs) is critical for performance optimization.In this paper, We investigate a C-RAN model based on single nearest RRH association with Nakagami-m fading and path-loss fading ,the single nearest and N–nearest RRH association strategies are presented, and the corresponding impact on the ergodic capacity of CRANs is analyzed, where RRHs are distributed according to a stationary point process. In the analysis the parameter mL is not restricted to be an integer, where L is the number of antennas per RRH. We derive several closed-form expressions for the ergodic capacity, not restricted to the high SNR regime and Closed-form expressions for the ergodic capacity of the proposed RRH association strategies are derived. for two classes of power path loss exponents. Moreover, the closed-form expression of a tight lower bound is provided for general scenarios. Finally, the results of simulation and numerical integration are provided to show the crossverification.